Virtual, Cloud and IT Availability, its a shared responsibility and common sense

IT Availability, it’s a shared responsibility and common sense

In case you missed it, recently the State of Oregon had a data center computer problem (ok, storage and application outage) that resulted in unemployment benefits not being provided. Tony Knotzer over at Network Computing did a story Oregon Storage Debacle Highlights Need To Plan For Failure and asked me for some perspectives that you can read here.

Data center

The reason I bring this incident up is not to join in the feeding frenzy that usually occurs when something like this happens, instead, to touch on what should be common. What is lacking at times (or more needed) is common sense when it comes to designing and managing flexible scalable data infrastructures.

“Fundamental IT 101 is that all technology will fail, despite what the vendors tell you,” Schulz said. And the most likely time technology will fail, he notes, is when people are involved — doing configurations, making changes or updates, or performing upgrades. – Via Network Computing

Note that while any technology can or has fail at some point, how it fails along with fault containment via design best practices and vendor resolution are important.

Good vendors learn and correct things so that they don’t happen again as well as work with customers on best practices to isolate and contain faults from expanding into disasters. Thus when a sales or marketing person tries to tell me that they have never had a failure I wonder if a: they are making something up, b: have not actually shipped to a customer in production, c: not aware of other deployments, d: towing the company line, e: too good to be true or f: all the above.

People talking

On the other hand, when a vendor tells me how they have resiliency in their product as well as processes, best practices and can even tell me (public or under NDA) how they have addressed issues, then they have my attention.

A common challenge today is cost cutting along with focus on the newest technology from servers to storage, networking to cloud, virtualization and software defined among other buzzword bingo themes and trends.

buzzword bingo

What also gets overlooked as mentioned above is common sense.

Perhaps if somebody could package and launch a good public relations campaign profiling common sense such as Software Defined Common Sense (SDCS) that might help?

On the other hand, similar to public service announcements (PSA) that may seem like common sense to some, there is a reason they are being done. That is to pass on the information to others who may not know about it thus lack what is perceived as common sense.

Lets get back to the state of Oregon’s computer systems issues and the blame game.

You know the blame game? That is when something happens or does not happen as you want it to simply find somebody else to blame or pivot and point a finger elsewhere.

the blame game

While perhaps good for CYA, the blame games usually does not help to prevent something happening again, or in the first place.

Hence in my comments about the state of Oregon computer storage system problems, I took the tone of what is common these days of no fault, shared responsibility and blame.

In other words does not matter who did what first or did not do, both sides could have prevented it.

For some this might resonate of it does not matter who misbehaved in the sandbox or play room, everybody gets a time out.

This is not to say that one side or the other has to assume or take on more blame or responsibility than the other, rather there is a shared responsibility to look out for each other.

Storage I/O trends

Just like when you drive a car, the education focus is on defensive safe driving to watch out for what the other person might do or not do (e.g. use turn signals or too busy to look in a mirror while talking or texting and driving among other things). The goal is to prevent accidents by watching out for those who are not taking responsibilities for themselves, not to mention learning from others mishaps.

teamwork
Working together vs. the blame game

Different views of customer vs. vendor

Having been a customer, as well as a vendor in the past not surprisingly I have some different views on this.

Sure the customer or client is always right, however sometimes there needs to be unpleasant conversations to help the customer help themselves, or keep themselves out of trouble.

Likewise a vendor may also take the blame when something does go wrong, even if it was entirely not their own fault just to stay in good graces with the customer or get that next deal.

Sometimes a vendor deserves to get beat up when something goes wrong, or at a least tell their story including if needed behind closed doors or under NDA. Likewise to have a meaningful relationship or partnership with the vendor, supplier or VAR, there needs to be trust and confidence which means not everything gets put out for media or blog venues to feed on.

Sure there is explaining what happened without spin, however there is also learning from mistakes to prevent them from happening which should be common sense. If part of that sharing of blame and responsibility requires being not in public that’s fine, as well as enough information of what happened is conveyed to clarify concerns and create confidence.

With vendor lockin, when I was a customer some taught that it’s the vendors fault (or for CYA, blame them), as a vendor the thinking was enforced that the customer is always right and its the competition who causes lockin.

As an analyst advisory consulting, my thinking not surprisingly is that of shared responsibility.

This means only you can allow vendor lockin, not to mention decide if lockin is bad or not.

Likewise only you can prevent data loss in cloud, virtual or traditional environments which also includes loss of access.

Granted somebody higher up the organization structure may over-ride you, however ask yourself if you did what was needed?

Likewise if a vendor is going to be doing some maintenance work in the middle of the week and there is a risk of something happening, even if they have told or sold you there is no single point of failure (NSPOF), or non disruptive upgrades.

Anytime there is a person involved regardless of if hardware, cables, software, firmware, configurations or physical environments something can happen. If the vendor drops the ball or a cable or card or something else and causes an outage or downtime, it is their responsibility to discuss those issues. However it is also the customers responsibility to discuss why they let the vendor do something during that time without taking adequate precautions. Likewise if the storage system was a single point of failure for an important system, then there is the responsibility to discuss the cost cutting concerns of others and have them justify why a redundant solution is not needed (that’s CYA 101 btw ).

Some other common sense tips

For some these might be familiar and if so, are they being done, and for others, perhaps they are new or revolutionary.

In the race to jump to a new technology or vendor, what are the unknowns? For example you may know what the issues or flaws are in an existing systems, solution, product, service or vendor, however what about the new one? Will you be the production beta customer and if so, how can you mitigate any risk?

Ask vendors tough, yet fair questions that are relevant to your needs and requirements including how they handle updates, upgrades and other tasks. Don’t be afraid to go under NDA if needed to get a better view of where they are at, have been and going to avoid surprises.

If this is not common IT sense, then take the responsibility to learn.

On the other hand, if this is common sense, take the responsibility to share and help others learn what it is that you know.

Also understand your availability needs and wants as well as balance those with costs along with risks. If something can go wrong it will if people are involved, thus design for resiliency including maintenance to offset applicable threat risks. Remember in the data center not everything is the same.

Storage I/O trends

Here is my point.

There is enough blame as well as accolades to go around, however take some shared responsibility and use it wisely.

Likewise in the race to cut cost, watch out for causing problems that compromise your information systems or services.

Look into removing complexity and costs without compromise which has long-term benefits vs. simply cutting costs.

Here are some related links and perspectives:
Don’t Let Clouds Scare You Be Prepared
Cloud conversation, Thanks Gartner for saying what has been said
Cloud conversations: Gaining cloud confidence from insights into AWS outages (Part II)
Make Your Company Ready for the Cloud
What do you do when your service provider drops the ball
People, Not Tech, Prevent IT Convergence
Pulling Together a Converged Team
Speaking of lockin, does software eliminate or move the location of vendor lock-in?

Ok, nuff said for now, what say you?

Cheers
Gs

Greg Schulz – Author Cloud and Virtual Data Storage Networking (CRC Press), The Green and Virtual Data Center (CRC Press) and Resilient Storage Networks (Elsevier)
twitter @storageio

All Comments, (C) and (TM) belong to their owners/posters, Other content (C) Copyright 2006-2024 Server StorageIO and UnlimitedIO LLC All Rights Reserved

Can we get a side of context with them IOPS server storage metrics?

Can we get a side of context with them server storage metrics?

Whats the best server storage I/O network metric or benchmark? It depends as there needs to be some context with them IOPS and other server storage I/O metrics that matter.

There is an old saying that the best I/O (Input/Output) is the one that you do not have to do.

In the meantime, let’s get a side of some context with them IOPS from vendors, marketers and their pundits who are tossing them around for server, storage and IO metrics that matter.

Expanding the conversation, the need for more context

The good news is that people are beginning to discuss storage beyond space capacity and cost per GByte, TByte or PByte for both DRAM or nand flash Solid State Devices (SSD), Hard Disk Drives (HDD) along with Hybrid HDD (HHDD) and Solid State Hybrid Drive (SSHD) based solutions. This applies to traditional enterprise or SMB IT data center with physical, virtual or cloud based infrastructures.

hdd and ssd iops

This is good because it expands the conversation beyond just cost for space capacity into other aspects including performance (IOPS, latency, bandwidth) for various workload scenarios along with availability, energy effective and management.

Adding a side of context

The catch is that IOPS while part of the equation are just one aspect of performance and by themselves without context, may have little meaning if not misleading in some situations.

Granted it can be entertaining, fun to talk about or simply make good press copy for a million IOPS. IOPS vary in size depending on the type of work being done, not to mention reads or writes, random and sequential which also have a bearing on data throughout or bandwidth (Mbytes per second) along with response time. Not to mention block, file, object or blob as well as table.

However, are those million IOP’s applicable to your environment or needs?

Likewise, what do those million or more IOPS represent about type of work being done? For example, are they small 64 byte or large 64 Kbyte sized, random or sequential, cached reads or lazy writes (deferred or buffered) on a SSD or HDD?

How about the response time or latency for achieving them IOPS?

In other words, what is the context of those metrics and why do they matter?

storage i/o iops
Click on image to view more metrics that matter including IOP’s for HDD and SSD’s

Metrics that matter give context for example IO sizes closer to what your real needs are, reads and writes, mixed workloads, random or sequential, sustained or bursty, in other words, real world reflective.

As with any benchmark take them with a grain (or more) of salt, they key is use them as an indicator then align to your needs. The tool or technology should work for you, not the other way around.

Here are some examples of context that can be added to help make IOP’s and other metrics matter:

  • What is the IOP size, are they 512 byte (or smaller) vs. 4K bytes (or larger)?
  • Are they reads, writes, random, sequential or mixed and what percentage?
  • How was the storage configured including RAID, replication, erasure or dispersal codes?
  • Then there is the latency or response time and IO queue depths for the given number of IOPS.
  • Let us not forget if the storage systems (and servers) were busy with other work or not.
  • If there is a cost per IOP, is that list price or discount (hint, if discount start negotiations from there)
  • What was the number of threads or workers, along with how many servers?
  • What tool was used, its configuration, as well as raw or cooked (aka file system) IO?
  • Was the IOP’s number with one worker or multiple workers on a single or multiple servers?
  • Did the IOP’s number come from a single storage system or total of multiple systems?
  • Fast storage needs fast serves and networks, what was their configuration?
  • Was the performance a short burst, or long sustained period?
  • What was the size of the test data used; did it all fit into cache?
  • Were short stroking for IOPS or long stroking for bandwidth techniques used?
  • Data footprint reduction (DFR) techniques (thin provisioned, compression or dedupe) used?
  • Were write data committed synchronously to storage, or deferred (aka lazy writes used)?

The above are just a sampling and not all may be relevant to your particular needs, however they help to put IOP’s into more contexts. Another consideration around IOPS are the configuration of the environment, from an actual running application using some measurement tool, or are they generated from a workload tool such as IOmeter, IOrate, VDbench among others.

Sure, there are more contexts and information that would be interesting as well, however learning to walk before running will help prevent falling down.

Storage I/O trends

Does size or age of vendors make a difference when it comes to context?

Some vendors are doing a good job of going for out of this world record-setting marketing hero numbers.

Meanwhile other vendors are doing a good job of adding context to their IOP or response time or bandwidth among other metrics that matter. There is a mix of startup and established that give context with their IOP’s or other metrics, likewise size or age does not seem to matter for those who lack context.

Some vendors may not offer metrics or information publicly, so fine, go under NDA to learn more and see if the results are applicable to your environments.

Likewise, if they do not want to provide the context, then ask some tough yet fair questions to decide if their solution is applicable for your needs.

Storage I/O trends

Where To Learn More

View additional NAS, NVMe, SSD, NVM, SCM, Data Infrastructure and HDD related topics via the following links.

Additional learning experiences along with common questions (and answers), as well as tips can be found in Software Defined Data Infrastructure Essentials book.

Software Defined Data Infrastructure Essentials Book SDDC

What This All Means

What this means is let us start putting and asking for metrics that matter such as IOP’s with context.

If you have a great IOP metric, if you want it to matter than include some context such as what size (e.g. 4K, 8K, 16K, 32K, etc.), percentage of reads vs. writes, latency or response time, random or sequential.

IMHO the most interesting or applicable metrics that matter are those relevant to your environment and application. For example if your main application that needs SSD does about 75% reads (random) and 25% writes (sequential) with an average size of 32K, while fun to hear about, how relevant is a million 64 byte read IOPS? Likewise when looking at IOPS, pay attention to the latency, particular if SSD or performance is your main concern.

Get in the habit of asking or telling vendors or their surrogates to provide some context with them metrics if you want them to matter.

So how about some context around them IOP’s (or latency and bandwidth or availability for that matter)?

Ok, nuff said, for now.

Gs

Greg Schulz – Microsoft MVP Cloud and Data Center Management, VMware vExpert 2010-2017 (vSAN and vCloud). Author of Software Defined Data Infrastructure Essentials (CRC Press), as well as Cloud and Virtual Data Storage Networking (CRC Press), The Green and Virtual Data Center (CRC Press), Resilient Storage Networks (Elsevier) and twitter @storageio. Courteous comments are welcome for consideration. First published on https://storageioblog.com any reproduction in whole, in part, with changes to content, without source attribution under title or without permission is forbidden.

All Comments, (C) and (TM) belong to their owners/posters, Other content (C) Copyright 2006-2024 Server StorageIO and UnlimitedIO. All Rights Reserved. StorageIO is a registered Trade Mark (TM) of Server StorageIO.

Part II: How many IOPS can a HDD HHDD SSD do with VMware?

How many IOPS can a HDD HHDD SSD do with VMware?

server storage data infrastructure i/o iop hdd ssd trends

Updated 2/10/2018

This is the second post of a two-part series looking at storage performance, specifically in the context of drive or device (e.g. mediums) characteristics of How many IOPS can a HDD HHDD SSD do with VMware. In the first post the focus was around putting some context around drive or device performance with the second part looking at some workload characteristics (e.g. benchmarks).

A common question is how many IOPS (IO Operations Per Second) can a storage device or system do?

The answer is or should be it depends.

Here are some examples to give you some more insight.

For example, the following shows how IOPS vary by changing the percent of reads, writes, random and sequential for a 4K (4,096 bytes or 4 KBytes) IO size with each test step (4 minutes each).

IO Size for test
Workload Pattern of test
Avg. Resp (R+W) ms
Avg. IOP Sec (R+W)
Bandwidth KB Sec (R+W)
4KB
100% Seq 100% Read
0.0
29,736
118,944
4KB
60% Seq 100% Read
4.2
236
947
4KB
30% Seq 100% Read
7.1
140
563
4KB
0% Seq 100% Read
10.0
100
400
4KB
100% Seq 60% Read
3.4
293
1,174
4KB
60% Seq 60% Read
7.2
138
554
4KB
30% Seq 60% Read
9.1
109
439
4KB
0% Seq 60% Read
10.9
91
366
4KB
100% Seq 30% Read
5.9
168
675
4KB
60% Seq 30% Read
9.1
109
439
4KB
30% Seq 30% Read
10.7
93
373
4KB
0% Seq 30% Read
11.5
86
346
4KB
100% Seq 0% Read
8.4
118
474
4KB
60% Seq 0% Read
13.0
76
307
4KB
30% Seq 0% Read
11.6
86
344
4KB
0% Seq 0% Read
12.1
82
330

Dell/Western Digital (WD) 1TB 7200 RPM SATA HDD (Raw IO) thread count 1 4K IO size

In the above example the drive is a 1TB 7200 RPM 3.5 inch Dell (Western Digital) 3Gb SATA device doing raw (non file system) IO. Note the high IOP rate with 100 percent sequential reads and a small IO size which might be a result of locality of reference due to drive level cache or buffering.

Some drives have larger buffers than others from a couple to 16MB (or more) of DRAM that can be used for read ahead caching. Note that this level of cache is independent of a storage system, RAID adapter or controller or other forms and levels of buffering.

Does this mean you can expect or plan on getting those levels of performance?

I would not make that assumption, and thus this serves as an example of using metrics like these in the proper context.

Building off of the previous example, the following is using the same drive however with a 16K IO size.

IO Size for test
Workload Pattern of test
Avg. Resp (R+W) ms
Avg. IOP Sec (R+W)
Bandwidth KB Sec (R+W)
16KB
100% Seq 100% Read
0.1
7,658
122,537
16KB
60% Seq 100% Read
4.7
210
3,370
16KB
30% Seq 100% Read
7.7
130
2,080
16KB
0% Seq 100% Read
10.1
98
1,580
16KB
100% Seq 60% Read
3.5
282
4,522
16KB
60% Seq 60% Read
7.7
130
2,090
16KB
30% Seq 60% Read
9.3
107
1,715
16KB
0% Seq 60% Read
11.1
90
1,443
16KB
100% Seq 30% Read
6.0
165
2,644
16KB
60% Seq 30% Read
9.2
109
1,745
16KB
30% Seq 30% Read
11.0
90
1,450
16KB
0% Seq 30% Read
11.7
85
1,364
16KB
100% Seq 0% Read
8.5
117
1,874
16KB
60% Seq 0% Read
10.9
92
1,472
16KB
30% Seq 0% Read
11.8
84
1,353
16KB
0% Seq 0% Read
12.2
81
1,310

Dell/Western Digital (WD) 1TB 7200 RPM SATA HDD (Raw IO) thread count 1 16K IO size

The previous two examples are excerpts of a series of workload simulation tests (ok, you can call them benchmarks) that I have done to collect information, as well as try some different things out.

The following is an example of the summary for each test output that includes the IO size, workload pattern (reads, writes, random, sequential), duration for each workload step, totals for reads and writes, along with averages including IOP’s, bandwidth and latency or response time.

disk iops

Want to see more numbers, speeds and feeds, check out the following table which will be updated with extra results as they become available.

Device
Vendor
Make

Model

Form Factor
Capacity
Interface
RPM Speed
Raw
Test Result
HDD
HGST
Desktop
HK250-160
2.5
160GB
SATA
5.4K
HDD
Seagate
Mobile
ST2000LM003
2.5
2TB
SATA
5.4K
HDD
Fujitsu
Desktop
MHWZ160BH
2.5
160GB
SATA
7.2K
HDD
Seagate
Momentus
ST9160823AS
2.5
160GB
SATA
7.2K
HDD
Seagate
MomentusXT
ST95005620AS
2.5
500GB
SATA
7.2K(1)
HDD
Seagate
Barracuda
ST3500320AS
3.5
500GB
SATA
7.2K
HDD
WD/Dell
Enterprise
WD1003FBYX
3.5
1TB
SATA
7.2K
HDD
Seagate
Barracuda
ST3000DM01
3.5
3TB
SATA
7.2K
HDD
Seagate
Desktop
ST4000DM000
3.5
4TB
SATA
HDD
HDD
Seagate
Capacity
ST6000NM00
3.5
6TB
SATA
HDD
HDD
Seagate
Capacity
ST6000NM00
3.5
6TB
12GSAS
HDD
HDD
Seagate
Savio 10K.3
ST9300603SS
2.5
300GB
SAS
10K
HDD
Seagate
Cheetah
ST3146855SS
3.5
146GB
SAS
15K
HDD
Seagate
Savio 15K.2
ST9146852SS
2.5
146GB
SAS
15K
HDD
Seagate
Ent. 15K
ST600MP0003
2.5
600GB
SAS
15K
SSHD
Seagate
Ent. Turbo
ST600MX0004
2.5
600GB
SAS
SSHD
SSD
Samsung
840 PRo
MZ-7PD256
2.5
256GB
SATA
SSD
HDD
Seagate
600 SSD
ST480HM000
2.5
480GB
SATA
SSD
SSD
Seagate
1200 SSD
ST400FM0073
2.5
400GB
12GSAS
SSD

Performance characteristics 1 worker (thread count) for RAW IO (non-file system)

Note: (1) Seagate Momentus XT is a Hybrid Hard Disk Drive (HHDD) based on a 7.2K 2.5 HDD with SLC nand flash integrated for read buffer in addition to normal DRAM buffer. This model is a XT I (4GB SLC nand flash), may add an XT II (8GB SLC nand flash) at some future time.

As a starting point, these results are raw IO with file system based information to be added soon along with more devices. These results are for tests with one worker or thread count, other results will be added with such as 16 workers or thread counts to show how those differ.

The above results include all reads, all writes, mix of reads and writes, along with all random, sequential and mixed for each IO size. IO sizes include 4K, 8K, 16K, 32K, 64K, 128K, 256K, 512K, 1024K and 2048K. As with any workload simulation, benchmark or comparison test, take these results with a grain of salt as your mileage can and will vary. For example you will see some what I consider very high IO rates with sequential reads even without file system buffering. These results might be due to locality of reference of IO’s being resolved out of the drives DRAM cache (read ahead) which vary in size for different devices. Use the vendor model numbers in the table above to check the manufactures specs on drive DRAM and other attributes.

If you are used to seeing 4K or 8K and wonder why anybody would be interested in some of the larger sizes take a look at big fast data or cloud and object storage. For some of those applications 2048K may not seem all that big. Likewise if you are used to the larger sizes, there are still applications doing smaller sizes. Sorry for those who like 512 byte or smaller IO’s as they are not included. Note that for all of these unless indicated a 512 byte standard sector or drive format is used as opposed to emerging Advanced Format (AF) 4KB sector or block size. Watch for some more drive and device types to be added to the above, along with results for more workers or thread counts, along with file system and other scenarios.

Using VMware as part of a Server, Storage and IO (aka StorageIO) test platform

vmware vexpert

The above performance results were generated on Ubuntu 12.04 (since upgraded to 14.04 which was hosted on a VMware vSphere 5.1 (upgraded to 5.5U2) purchased version (you can get the ESXi free version here) with vCenter enabled system. I also have VMware workstation installed on some of my Windows-based laptops for doing preliminary testing of scripts and other activity prior to running them on the larger server-based VMware environment. Other VMware tools include vCenter Converter, vSphere Client and CLI. Note that other guest virtual machines (VMs) were idle during the tests (e.g. other guest VMs were quiet). You may experience different results if you ran Ubuntu native on a physical machine or with different adapters, processors and device configurations among many other variables (that was a disclaimer btw ;) ).

Storage I/O trends

All of the devices (HDD, HHDD, SSD’s including those not shown or published yet) were Raw Device Mapped (RDM) to the Ubuntu VM bypassing VMware file system.

Example of creating an RDM for local SAS or SATA direct attached device.

vmkfstools -z /vmfs/devices/disks/naa.600605b0005f125018e923064cc17e7c /vmfs/volumes/dat1/RDM_ST1500Z110S6M5.vmdk

The above uses the drives address (find by doing a ls -l /dev/disks via VMware shell command line) to then create a vmdk container stored in a dat. Note that the RDM being created does not actually store data in the .vmdk, it’s there for VMware management operations.

If you are not familiar with how to create a RDM of a local SAS or SATA device, check out this post to learn how.This is important to note in that while VMware was used as a platform to support the guest operating systems (e.g. Ubuntu or Windows), the real devices are not being mapped through or via VMware virtual drives.

vmware iops

The above shows examples of RDM SAS and SATA devices along with other VMware devices and dats. In the next figure is an example of a workload being run in the test environment.

vmware iops

One of the advantages of using VMware (or other hypervisor) with RDM’s is that I can quickly define via software commands where a device gets attached to different operating systems (e.g. the other aspect of software defined storage). This means that after a test run, I can quickly simply shutdown Ubuntu, remove the RDM device from that guests settings, move the device just tested to a Windows guest if needed and restart those VMs. All of that from where ever I happen to be working from without physically changing things or dealing with multi-boot or cabling issues.

Where To Learn More

View additional NAS, NVMe, SSD, NVM, SCM, Data Infrastructure and HDD related topics via the following links.

Additional learning experiences along with common questions (and answers), as well as tips can be found in Software Defined Data Infrastructure Essentials book.

Software Defined Data Infrastructure Essentials Book SDDC

What This All Means

So how many IOPs can a device do?

That depends, however have a look at the above information and results.

Check back from time to time here to see what is new or has been added including more drives, devices and other related themes.

Ok, nuff said, for now.

Gs

Greg Schulz – Microsoft MVP Cloud and Data Center Management, VMware vExpert 2010-2017 (vSAN and vCloud). Author of Software Defined Data Infrastructure Essentials (CRC Press), as well as Cloud and Virtual Data Storage Networking (CRC Press), The Green and Virtual Data Center (CRC Press), Resilient Storage Networks (Elsevier) and twitter @storageio. Courteous comments are welcome for consideration. First published on https://storageioblog.com any reproduction in whole, in part, with changes to content, without source attribution under title or without permission is forbidden.

All Comments, (C) and (TM) belong to their owners/posters, Other content (C) Copyright 2006-2024 Server StorageIO and UnlimitedIO. All Rights Reserved. StorageIO is a registered Trade Mark (TM) of Server StorageIO.

How many I/O iops can flash SSD or HDD do?

How many i/o iops can flash ssd or hdd do with vmware?

sddc data infrastructure Storage I/O ssd trends

Updated 2/10/2018

A common question I run across is how many I/O iopsS can flash SSD or HDD storage device or system do or give.

The answer is or should be it depends.

This is the first of a two-part series looking at storage performance, and in context specifically around drive or device (e.g. mediums) characteristics across HDD, HHDD and SSD that can be found in cloud, virtual, and legacy environments. In this first part the focus is around putting some context around drive or device performance with the second part looking at some workload characteristics (e.g. benchmarks).

What about cloud, tape summit resources, storage systems or appliance?

Lets leave those for a different discussion at another time.

Getting started

Part of my interest in tools, metrics that matter, measurements, analyst, forecasting ties back to having been a server, storage and IO performance and capacity planning analyst when I worked in IT. Another aspect ties back to also having been a sys admin as well as business applications developer when on the IT customer side of things. This was followed by switching over to the vendor world involved with among other things competitive positioning, customer design configuration, validation, simulation and benchmarking HDD and SSD based solutions (e.g. life before becoming an analyst and advisory consultant).

Btw, if you happen to be interested in learn more about server, storage and IO performance and capacity planning, check out my first book Resilient Storage Networks (Elsevier) that has a bit of information on it. There is also coverage of metrics and planning in my two other books The Green and Virtual Data Center (CRC Press) and Cloud and Virtual Data Storage Networking (CRC Press). I have some copies of Resilient Storage Networks available at a special reader or viewer rate (essentially shipping and handling). If interested drop me a note and can fill you in on the details.

There are many rules of thumb (RUT) when it comes to metrics that matter such as IOPS, some that are older while others may be guess or measured in different ways. However the answer is that it depends on many things ranging from if a standalone hard disk drive (HDD), Hybrid HDD (HHDD), Solid State Device (SSD) or if attached to a storage system, appliance, or RAID adapter card among others.

Taking a step back, the big picture

hdd image
Various HDD, HHDD and SSD’s

Server, storage and I/O performance and benchmark fundamentals

Even if just looking at a HDD, there are many variables ranging from the rotational speed or Revolutions Per Minute (RPM), interface including 1.5Gb, 3.0Gb, 6Gb or 12Gb SAS or SATA or 4Gb Fibre Channel. If simply using a RUT or number based on RPM can cause issues particular with 2.5 vs. 3.5 or enterprise and desktop. For example, some current generation 10K 2.5 HDD can deliver the same or better performance than an older generation 3.5 15K. Other drive factors (see this link for HDD fundamentals) including physical size such as 3.5 inch or 2.5 inch small form factor (SFF), enterprise or desktop or consumer, amount of drive level cache (DRAM). Space capacity of a drive can also have an impact such as if all or just a portion of a large or small capacity devices is used. Not to mention what the drive is attached to ranging from in internal SAS or SATA drive bay, USB port, or a HBA or RAID adapter card or in a storage system.

disk iops
HDD fundamentals

How about benchmark and performance for marketing or comparison tricks including delayed, deferred or asynchronous writes vs. synchronous or actually committed data to devices? Lets not forget about short stroking (only using a portion of a drive for better IOP’s) or even long stroking (to get better bandwidth leveraging spiral transfers) among others.

Almost forgot, there are also thick, standard, thin and ultra thin drives in 2.5 and 3.5 inch form factors. What’s the difference? The number of platters and read write heads. Look at the following image showing various thickness 2.5 inch drives that have various numbers of platters to increase space capacity in a given density. Want to take a wild guess as to which one has the most space capacity in a given footprint? Also want to guess which type I use for removable disk based archives along with for onsite disk based backup targets (compliments my offsite cloud backups)?

types of disks
Thick, thin and ultra thin devices

Beyond physical and configuration items, then there are logical configuration including the type of workload, large or small IOPS, random, sequential, reads, writes or mixed (various random, sequential, read, write, large and small IO). Other considerations include file system or raw device, number of workers or concurrent IO threads, size of the target storage space area to decide impact of any locality of reference or buffering. Some other items include how long the test or workload simulation ran for, was the device new or worn in before use among other items.

Tools and the performance toolbox

Then there are the various tools for generating IO’s or workloads along with recording metrics such as reads, writes, response time and other information. Some examples (mix of free or for fee) include Bonnie, Iometer, Iorate, IOzone, Vdbench, TPC, SPC, Microsoft ESRP, SPEC and netmist, Swifttest, Vmark, DVDstore and PCmark 7 among many others. Some are focused just on the storage system and IO path while others are application specific thus exercising servers, storage and IO paths.

performance tools
Server, storage and IO performance toolbox

Having used Iometer since the late 90s, it has its place and is popular given its ease of use. Iometer is also long in the tooth and has its limits including not much if any new development, never the less, I have it in the toolbox. I also have Futremark PCmark 7 (full version) which turns out has some interesting abilities to do more than exercise an entire Windows PC. For example PCmark can use a secondary drive for doing IO to.

PCmark can be handy for spinning up with VMware (or other tools) lots of virtual Windows systems pointing to a NAS or other shared storage device doing real world type activity. Something that could be handy for testing or stressing virtual desktop infrastructures (VDI) along with other storage systems, servers and solutions. I also have Vdbench among others tools in the toolbox including Iorate which was used to drive the workloads shown below.

What I look for in a tool are how extensible are the scripting capabilities to define various workloads along with capabilities of the test engine. A nice GUI is handy which makes Iometer popular and yes there are script capabilities with Iometer. That is also where Iometer is long in the tooth compared to some of the newer generation of tools that have more emphasis on extensibility vs. ease of use interfaces. This also assumes knowing what workloads to generate vs. simply kicking off some IOPs using default settings to see what happens.

Another handy tool is for recording what’s going on with a running system including IO’s, reads, writes, bandwidth or transfers, random and sequential among other things. This is where when needed I turn to something like HiMon from HyperIO, if you have not tried it, get in touch with Tom West over at HyperIO and tell him StorageIO sent you to get a demo or trial. HiMon is what I used for doing start, stop and boot among other testing being able to see IO’s at the Windows file system level (or below) including very early in the boot or shutdown phase.

Here is a link to some other things I did awhile back with HiMon to profile some Windows and VDI activity test profiling.

What’s the best tool or benchmark or workload generator?

The one that meets your needs, usually your applications or something as close as possible to it.

disk iops
Various 2.5 and 3.5 inch HDD, HHDD, SSD with different performance

Where To Learn More

View additional NAS, NVMe, SSD, NVM, SCM, Data Infrastructure and HDD related topics via the following links.

Additional learning experiences along with common questions (and answers), as well as tips can be found in Software Defined Data Infrastructure Essentials book.

Software Defined Data Infrastructure Essentials Book SDDC

What This All Means

That depends, however continue reading part II of this series to see some results for various types of drives and workloads.

Ok, nuff said, for now.

Gs

Greg Schulz – Microsoft MVP Cloud and Data Center Management, VMware vExpert 2010-2017 (vSAN and vCloud). Author of Software Defined Data Infrastructure Essentials (CRC Press), as well as Cloud and Virtual Data Storage Networking (CRC Press), The Green and Virtual Data Center (CRC Press), Resilient Storage Networks (Elsevier) and twitter @storageio. Courteous comments are welcome for consideration. First published on https://storageioblog.com any reproduction in whole, in part, with changes to content, without source attribution under title or without permission is forbidden.

All Comments, (C) and (TM) belong to their owners/posters, Other content (C) Copyright 2006-2024 Server StorageIO and UnlimitedIO. All Rights Reserved. StorageIO is a registered Trade Mark (TM) of Server StorageIO.

Tape is still alive, or at least in conversations and discussions

StorageIO Industry trends and perspectives image

Depending on whom you talk to or ask, you will get different views and opinions, some of them stronger than others on if magnetic tape is dead or alive as a data storage medium. However an aspect of tape that is alive are the discussions by those for, against or that simply see it as one of many data storage mediums and technologies whose role is changing.

Here is a link to an a ongoing discussion over in one of the Linked In group forums (Backup & Recovery Professionals) titled About Tape and disk drives. Rest assured, there is plenty of fud and hype on both sides of the tape is dead (or alive) arguments, not very different from the disk is dead vs. SSD or cloud arguments. After all, not everything is the same in data centers, clouds and information factories.

Fwiw, I removed tape from my environment about 8 years ago, or I should say directly as some of my cloud providers may in fact be using tape in various ways that I do not see, nor do I care one way or the other as long as my data is safe, secure, protected and SLA’s are meet. Likewise, I consult and advice for organizations where tape still exists yet its role is changing, same with those using disk and cloud.

Storage I/O data center image

I am not ready to adopt the singular view that tape is dead yet as I know too many environments that are still using it, however agree that its role is changing, thus I am not part of the tape cheerleading camp.

On the other hand, I am a fan of using disk based data protection along with cloud in new and creative (including for my use) as part of modernizing data protection. Although I see disk as having a very bright and important future beyond what it is being used for now, at least today, I am not ready to join the chants of tape is dead either.

StorageIO Industry trends and perspectives image

Does that mean I can’t decide or don’t want to pick a side? NO

It means that I do not have to nor should anyone have to choose a side, instead look at your options, what are you trying to do, how can you leverage different things, techniques and tools to maximize your return on innovation. If that means that tape is, being phased out of your organization good for you. If that means there is a new or different role for tape in your organization co-existing with disk, then good for you.

If somebody tells you that tape sucks and that you are dumb and stupid for using it without giving any informed basis for those comments then call them dumb and stupid requesting they come back when then can learn more about your environment, needs, and requirements ready to have an informed discussion on how to move forward.

Likewise, if you can make an informed value proposition on why and how to migrate to new ways of modernizing data protection without having to stoop to the tape is dead argument, or cite some research or whatever, good for you and start telling others about it.

StorageIO Industry trends and perspectives image

Otoh, if you need to use fud and hype on why tape is dead, why it sucks or is bad, at least come up with some new and relevant facts, third-party research, arguments or value propositions.

You can read more about tape and its changing role at tapeisalive.com or Tapesummit.com.

Ok, nuff said.

Cheers gs

Greg Schulz – Author Cloud and Virtual Data Storage Networking (CRC Press, 2011), The Green and Virtual Data Center (CRC Press, 2009), and Resilient Storage Networks (Elsevier, 2004)

twitter @storageio

All Comments, (C) and (TM) belong to their owners/posters, Other content (C) Copyright 2006-2024 Server StorageIO and UnlimitedIO LLC All Rights Reserved

Cloud conversations: Gaining cloud confidence from insights into AWS outages (Part II)

StorageIO industry trends cloud, virtualization and big data

This is the second in a two-part industry trends and perspective looking at learning from cloud incidents, view part I here.

There is good information, insight and lessons to be learned from cloud outages and other incidents.

Sorry cynics no that does not mean an end to clouds, as they are here to stay. However when and where to use them, along with what best practices, how to be ready and configure for use are part of the discussion. This means that clouds may not be for everybody or all applications, or at least today. For those who are into clouds for the long haul (either all in or partially) including current skeptics, there are many lessons to be  learned and leveraged.

In order to gain confidence in clouds, some questions that I routinely am asked include are clouds more or less reliable than what you are doing? Depends on what you are doing, and how you will be using the cloud services. If you are applying HA and other BC or resiliency best practices, you may be able to configure and isolate from the more common situations. On the other hand, if you are simply using the cloud services as a low-cost alternative selecting the lowest price and service class (SLAs and SLOs), you might get what you paid for. Thus, clouds are a shared responsibility, the service provider has things they need to do, and the user or person designing how the service will be used have some decisions making responsibilities.

Keep in mind that high availability (HA), resiliency, business continuance (BC) along with disaster recovery (DR) are the sum of several pieces. This includes people, best practices, processes including change management, good design eliminating points of failure and isolating or containing faults, along with how the components  or technology used (e.g. hardware, software, networks, services, tools). Good technology used in goods ways can be part of a highly resilient flexible and scalable data infrastructure. Good technology used in the wrong ways may not leverage the solutions to their full potential.

While it is easy to focus on the physical technologies (servers, storage, networks, software, facilities), many of the cloud services incidents or outages have involved people, process and best practices so those need to be considered.

These incidents or outages bring awareness, a level set, that this is still early in the cloud evolution lifecycle and to move beyond seeing clouds as just a way to cut cost, and seeing the importance and value HA, resiliency, BC and DR. This means learning from mistakes, taking action to correct or fix errors, find and cut points of failure are part of a technology maturing or the use of it. These all tie into having services with service level agreements (SLAs) with service level objectives (SLOs) for availability, reliability, durability, accessibility, performance and security among others to protect against mayhem or other things that can and do happen.

Images licensed for use by StorageIO via
Atomazul / Shutterstock.com

The reason I mentioned earlier that AWS had another incident is that like their peers or competitors who have incidents in the past, AWS appears to be going through some growing, maturing, evolution related activities. During summer 2012 there was an AWS incident that affected Netflix (read more here: AWS and the Netflix Fix?). It should also be noted that there were earlier AWS outages where Netflix (read about Netflix architecture here) leveraged resiliency designs to try and prevent mayhem when others were impacted.

Is AWS a lightning rod for things to happen, a point of attraction for Mayhem and others?

Granted given their size, scope of services and how being used on a global basis AWS is blazing new territory and experiences, similar to what other information services delivery platforms did in the past. What I mean is that while taken for granted today, open systems Unix, Linux, Windows-based along with client-server, midrange or distributed systems, not to mention mainframe hardware, software, networks, processes, procedures, best practices all went through growing pains.

There are a couple of interesting threads going on over in various LinkedIn Groups based on some reporters stories including on speculation of what happened, followed with some good discussions of what actually happened and how to prevent recurrence of them in the future.

Over in the Cloud Computing, SaaS & Virtualization group forum, this thread is based on a Forbes article (Amazon AWS Takes Down Netflix on Christmas Eve) and involves conversations about SLAs, best practices, HA and related themes. Have a look at the story the thread is based on and some of the assertions being made, and ensuing discussions.

Also over at LinkedIn, in the Cloud Hosting & Service Providers group forum, this thread is based on a story titled Why Netflix’ Christmas Eve Crash Was Its Own Fault with a good discussion on clouds, HA, BC, DR, resiliency and related themes.

Over at the Virtualization Practice, there is a piece titled Is Amazon Ruining Public Cloud Computing? with comments from me and Adrian Cockcroft (@Adrianco) a Netflix Architect (you can read his blog here). You can also view some presentations about the Netflix architecture here.

What this all means

Saying you get what you pay for would be too easy and perhaps not applicable.

There are good services free, or low-cost, just like good free content and other things, however vice versa, just because something costs more, does not make it better.

Otoh, there are services that charge a premium however may have no better if not worse reliability, same with content for fee or perceived value that is no better than what you get free.

Additional related material

Some closing thoughts:

  • Clouds are real and can be used safely; however, they are a shared responsibility.
  • Only you can prevent cloud data loss, which means do your homework, be ready.
  • If something can go wrong, it probably will, particularly if humans are involved.
  • Prepare for the unexpected and clarify assumptions vs. realities of service capabilities.
  • Leverage fault isolation and containment to prevent rolling or spreading disasters.
  • Look at cloud services beyond lowest cost or for cost avoidance.
  • What is your organizations culture for learning from mistakes vs. fixing blame?
  • Ask yourself if you, your applications and organization are ready for clouds.
  • Ask your cloud providers if they are ready for you and your applications.
  • Identify what your cloud concerns are to decide what can be done about them.
  • Do a proof of concept to decide what types of clouds and services are best for you.

Do not be scared of clouds, however be ready, do your homework, learn from the mistakes, misfortune and errors of others. Establish and leverage known best practices while creating new ones. Look at the past for guidance to the future, however avoid clinging to, and bringing the baggage of the past to the future. Use new technologies, tools and techniques in new ways vs. using them in old ways.

Ok, nuff said.

Cheers gs

Greg Schulz – Author Cloud and Virtual Data Storage Networking (CRC Press, 2011), The Green and Virtual Data Center (CRC Press, 2009), and Resilient Storage Networks (Elsevier, 2004)

twitter @storageio

All Comments, (C) and (TM) belong to their owners/posters, Other content (C) Copyright 2006-2024 Server StorageIO and UnlimitedIO LLC All Rights Reserved

Cloud conversations: Gaining cloud confidence from insights into AWS outages

StorageIO industry trends cloud, virtualization and big data

This is the first of a two-part industry trends and perspectives series looking at how to learn from cloud outages (read part II here).

In case you missed it, there were some public cloud outages during the recent Christmas 2012-holiday season. One incident involved Microsoft Xbox (view the Microsoft Azure status dashboard here) users were impacted, and the other was another Amazon Web Services (AWS) incident. Microsoft and AWS are not alone, most if not all cloud services have had some type of incident and have gone on to improve from those outages. Google has had issues with different applications and services including some in December 2012 along with a Gmail incident that received covered back in 2011.

For those interested, here is a link to the AWS status dashboard and a link to the AWS December 24 2012 incident postmortem. In the case of the recent AWS incident which affected users such as Netflix, the incident (read the AWS postmortem and Netflix postmortem) was tied to a human error. This is not to say AWS has more outages or incidents vs. others including Microsoft, it just seems that we hear more about AWS when things happen compared to others. That could be due to AWS size and arguably market leading status, diversity of services and scale at which some of their clients are using them.

Btw, if you were not aware, Microsoft Azure is more than just about supporting SQLserver, Exchange, SharePoint or Office, it is also an IaaS layer for running virtual machines such as Hyper-V, as well as a storage target for storing data. You can use Microsoft Azure storage services as a target for backing up or archiving or as general storage, similar to using AWS S3 or Rackspace Cloud files or other services. Some backup and archiving AaaS and SaaS providers including Evault partner with Microsoft Azure as a storage repository target.

When reading some of the coverage of these recent cloud incidents, I am not sure if I am more amazed by some of the marketing cloud washing, or the cloud bashing and uniformed reporting or lack of research and insight. Then again, if someone repeats a myth often enough for others to hear and repeat, as it gets amplified, the myth may assume status of reality. After all, you may know the expression that if it is on the internet then it must be true?

Images licensed for use by StorageIO via
Atomazul / Shutterstock.com

Have AWS and public cloud services become a lightning rod for when things go wrong?

Here is some coverage of various cloud incidents:

The above are a small sampling of different stories, articles, columns, blogs, perspectives about cloud services outages or other incidents. Assuming the services are available, you can Google or Bing many others along with reading postmortems to gain insight into what happened, the cause, effect and how to prevent in the future.

Do these recent incidents show a trend of increased cloud outages? Alternatively, do they say that the cloud services are being used more and on a larger basis, thus the impacts become more known?

Perhaps it is a mix of the above, and like when a magnetic storage tape gets lost or stolen, it makes for good news or copy, something to write about. Granted there are fewer tapes actually lost than in the past, and far fewer vs. lost or stolen laptops and other devices with data on them. There are probably other reasons such as the lightning rod effect given how much industry hype around clouds that when something does happen, the cynics or foes come out in force, sometimes with FUD.

Similar to traditional hardware or software based product vendors, some service providers have even tried to convince me that they have never had an incident, lost or corrupted or compromised any data, yeah, right. Candidly, I put more credibility and confidence in a vendor or solution provider who tells me that they have had incidents and taken steps to prevent them from recurring. Granted those steps might be made public while others might be under NDA, at least they are learning and implementing improvements.

As part of gaining insights, here are some links to AWS, Google, Microsoft Azure and other service status dashboards where you can view current and past situations.

What is your take on IT clouds? Click here to cast your vote and see what others are thinking about clouds.

Ok, nuff said for now (check out part II here )

Disclosure: I am a customer of AWS for EC2, EBS, S3 and Glacier as well as a customer of Bluehost for hosting and Rackspace for backups. Other than Amazon being a seller of my books (and my blog via Kindle) along with running ads on my sites and being an Amazon Associates member (Google also has ads), none of those mentioned are or have been StorageIO clients.

Cheers gs

Greg Schulz – Author Cloud and Virtual Data Storage Networking (CRC Press, 2011), The Green and Virtual Data Center (CRC Press, 2009), and Resilient Storage Networks (Elsevier, 2004)

twitter @storageio

All Comments, (C) and (TM) belong to their owners/posters, Other content (C) Copyright 2006-2024 Server StorageIO and UnlimitedIO LLC All Rights Reserved

December 2012 StorageIO Update news letter

StorageIO News Letter Image
December 2012 News letter

Welcome to the December 2012 year end edition of the StorageIO Update news letter including a new format and added content.

You can get access to this news letter via various social media venues (some are shown below) in addition to StorageIO web sites and subscriptions.

Click on the following links to view the December 2012 edition as brief (short HTML sent via Email) version, or the full HTML or PDF versions.

Visit the news letter page to view previous editions of the StorageIO Update.

You can subscribe to the news letter by clicking here.

Enjoy this edition of the StorageIO Update news letter, let me know your comments and feedback.

Nuff said for now

Cheers
Gs

Greg Schulz – Author Cloud and Virtual Data Storage Networking (CRC Press), The Green and Virtual Data Center (CRC Press) and Resilient Storage Networks (Elsevier)
twitter @storageio

All Comments, (C) and (TM) belong to their owners/posters, Other content (C) Copyright 2006-2012 StorageIO and UnlimitedIO All Rights Reserved

Ceph Day Amsterdam 2012 (Object and cloud storage)

StorageIO industry trends cloud, virtualization and big data

Recently while I was in Europe presenting some sessions at conferences and doing some seminars, I was invited by Ed Saipetch (@edsai) of Inktank.com to attend the first Ceph Day in Amsterdam.

Ceph day image

As luck or fate would turn out, I was in Nijkerk which is about an hour train ride from Amsterdam central station plus a free day in my schedule. After a morning train ride and nice walk from Amsterdam Central I arrived at the Tobacco Theatre (a former tobacco trading venue) where Ceph Day was underway, and in time for lunch of Krokettens sandwich.

Attendees at Ceph Day

Lets take a quick step back and address for those not familiar what is Ceph (Cephalanthera) and why it was worth spending a day to attend this event. Ceph is an open source distributed object scale out (e.g. cluster or grid) software platform running on industry standard hardware.

Dell server supporting ceph demoSketch of ceph demo configuration

Ceph is used for deploying object storage, cloud storage and managed services, general purpose storage for research, commercial, scientific, high performance computing (HPC) or high productivity computing (commercial) along with backup or data protection and archiving destinations. Other software similar in functionality or capabilities to Ceph include OpenStack Swift, Basho Riak CS, Cleversafe, Scality and Caringo among others. There are also the tin wrapped software (e.g. appliances or pre-packaged) solutions such as Dell DX (Caringo), DataDirect Networks (DDN) WOS, EMC ATMOS and Centera, Amplidata and HDS HCP among others. From a service standpoint, these solutions can be used to build services similar Amazon S3 and Glacier, Rackspace Cloud files and Cloud Block, DreamHost DreamObject and HP Cloud storage among others.

Ceph cloud and object storage architecture image

At the heart of Ceph is RADOS a distributed object store that consists of peer nodes functioning as object storage devices (OSD). Data can be accessed via REST (Amazon S3 like) APIs, Libraries, CEPHFS and gateway with information being spread across nodes and OSDs using a CRUSH based algorithm (note Sage Weil is one of the authors of CRUSH: Controlled, Scalable, Decentralized Placement of Replicated Data). Ceph is scalable in terms of performance, availability and capacity by adding extra nodes with hard disk drives (HDD) or solid state devices (SSDs). One of the presentations pertained to DreamHost that was an early adopter of Ceph to make their DreamObjects (cloud storage) offering.

Ceph cloud and object storage deployment image

In addition to storage nodes, there are also an odd number of monitor nodes to coordinate and manage the Ceph cluster along with optional gateways for file access. In the above figure (via DreamHost), load balancers sit in front of gateways that interact with the storage nodes. The storage node in this example is a physical server with 12 x 3TB HDDs each configured as a OSD.

Ceph dreamhost dreamobject cloud and object storage configuration image

In the DreamHost example above, there are 90 storage nodes plus 3 management nodes, the total raw storage capacity (no RAID) is about 3PB (12 x 3TB = 36TB x 90 = 3.24PB). Instead of using RAID or mirroring, each objects data is replicated or copied to three (e.g. N=3) different OSDs (on separate nodes), where N is adjustable for a given level of data protection, for a usable storage capacity of about 1PB.

Note that for more usable capacity and lower availability, N could be set lower, or a larger value of N would give more durability or data protection at higher storage capacity overhead cost. In addition to using JBOD configurations with replication, Ceph can also be configured with a combination of RAID and replication providing more flexibility for larger environments to balance performance, availability, capacity and economics.

Ceph dreamhost and dreamobject cloud and object storage deployment image

One of the benefits of Ceph is the flexibility to configure it how you want or need for different applications. This can be in a cost-effective hardware light configuration using JBOD or internal HDDs in small form factor generally available servers, or high density servers and storage enclosures with optional RAID adapters along with SSD. This flexibility is different from some cloud and object storage systems or software tools which take a stance of not using or avoiding RAID vs. providing options and flexibility to configure and use the technology how you see fit.

Here are some links to presentations from Ceph Day:
Introduction and Welcome by Wido den Hollander
Ceph: A Unified Distributed Storage System by Sage Weil
Ceph in the Cloud by Wido den Hollander
DreamObjects: Cloud Object Storage with Ceph by Ross Turk
Cluster Design and Deployment by Greg Farnum
Notes on Librados by Sage Weil

Presentations during ceph day

While at Ceph day, I was able to spend a few minutes with Sage Weil Ceph creator and founder of inktank.com to record a pod cast (listen here) about what Ceph is, where and when to use it, along with other related topics. Also while at the event I had a chance to sit down with Curtis (aka Mr. Backup) Preston where we did a simulcast video and pod cast. The simulcast involved Curtis recording this video with me as a guest discussing Ceph, cloud and object storage, backup, data protection and related themes while I recorded this pod cast.

One of the interesting things I heard, or actually did not hear while at the Ceph Day event that I tend to hear at related conferences such as SNW is a focus on where and how to use, configure and deploy Ceph along with various configuration options, replication or copy modes as opposed to going off on erasure codes or other tangents. In other words, instead of focusing on the data protection protocol and algorithms, or what is wrong with the competition or other architectures, the Ceph Day focused was removing cloud and object storage objections and enablement.

Where do you get Ceph? You can get it here, as well as via 42on.com and inktank.com.

Thanks again to Sage Weil for taking time out of his busy schedule to record a pod cast talking about Ceph, as well 42on.com and inktank for hosting, and the invitation to attend the first Ceph Day in Amsterdam.

View of downtown Amsterdam on way to train station to return to Nijkerk
Returning to Amsterdam central station after Ceph Day

Ok, nuff said.

Cheers gs

Greg Schulz – Author Cloud and Virtual Data Storage Networking (CRC Press, 2011), The Green and Virtual Data Center (CRC Press, 2009), and Resilient Storage Networks (Elsevier, 2004)

twitter @storageio

All Comments, (C) and (TM) belong to their owners/posters, Other content (C) Copyright 2006-2012 StorageIO and UnlimitedIO All Rights Reserved

Industry trends and perspectives: Catching up with Quantum CTE David Chapa

This is the third (here is the first and the second) in a series of StorageIO industry trends and perspective audio blog and pod cast discussions from Storage Networking World (SNW) Fall 2012 in Santa Clara California.

StorageIO industry trends cloud, virtualization and big data

Given how at conference conversations tend to occur in the hallways, lobbies and bar areas of venues, what better place to have candid conversations with people from throughout the industry, some you know, some you will get to know better.

In this episode, I’m joined by my co-host Bruce Rave aka Bruce Ravid of Ravid & Associates (twitter @brucerave) as we catch up and visit with David Chapa (@davidchapa) Chief Technology Evangelist (CTE) of Quantum Corporation (@quantumcorp) in the Santa Clara Hyatt (event venue) lobby bar area. Disclosure note, Quantum has in the past been a client of StorageIO.

Click here (right-click to download MP3 file) or on the microphone image to listen to the conversation with David and Bruce. Our conversations covers SNW, evolution and transformation of Quantum, global travels in and around the clouds, big data myths and realities, monetizing and transforming data into information, using big data to drive diapers and beer sales, people and data living longer as well as getting larger, managing your diet and data footprint, rethinking and modernizing data protection among other topics.

StorageIO podcast

Also available via

Watch (and listen) for more StorageIO industry trends and perspectives audio blog posts pod casts from SNW and other upcoming events.

Enjoy listening to catching up with David Chapa from the Fall SNW 2012 pod cast.

Ok, nuff said.

Cheers gs

Greg Schulz – Author Cloud and Virtual Data Storage Networking (CRC Press, 2011), The Green and Virtual Data Center (CRC Press, 2009), and Resilient Storage Networks (Elsevier, 2004)

twitter @storageio

All Comments, (C) and (TM) belong to their owners/posters, Other content (C) Copyright 2006-2012 StorageIO and UnlimitedIO All Rights Reserved

Data protection modernization, more than swapping out media

backup, restore, BC, DR and archiving

Have you modernized your data protection strategy and environment?

If not, are you thinking about updating your strategy and environment?

Why modernize your data protection including backup restore, business continuance (BC), high availability (HA) and disaster recovery (DR) strategy and environment?

backup, restore, BC, DR and archiving

Is it to leverage new technology such as disk to disk (D2D) backups, cloud, virtualization, data footprint reduction (DFR) including compression or dedupe?

Perhaps you have or are considering data protection modernization because somebody told you to or you read about it or watched a video or web cast? Or, perhaps your backup and restore are broke so its time to change media or try something different.

Lets take a step back for a moment and ask the question of what is your view of data protection modernization?

Perhaps it is modernizing backup by replacing tape with disk, or disk with clouds?

Maybe it is leveraging data footprint reduction (DFR) techniques including compression and dedupe?

Data protection, data footprint reduction, dfr, dedupe, compress

How about instead of swapping out media, changing backup software?

Or what about virtualizing servers moving from physical machines to virtual machines?

On the other hand maybe your view of modernizing data protection is around using a different product ranging from backup software to a data protection appliance, or snapshots and replication.

The above and others certainly fall under the broad group of backup, restore, BC, DR and archiving, however there is another area which is not as much technology as it is techniques, best practices, processes and procedure based. That is, revisit why data and applications are being protected against what applicable threat risks and associated business risks.

backup, restore, BC, DR and archiving

This means reviewing service needs and wants including backup, restore, BC, DR and archiving that in turn drive what data and applications to protect, how often, how many copies and where those are located, along with how long they will be retained.

backup, restore, BC, DR and archiving

Modernizing data protection is more than simply swapping out old or broken media like flat tires on a vehicle.

To be effective, data protection modernization involves taking a step back from the technology, tools and buzzword bingo topics to review what is being protected and why. It also means revisiting service level expectations and clarify wants vs. needs which translates to what if for free that is what is wanted, however for a cost then what is required.

backup, restore, BC, DR and archiving

Certainly technologies and tools play a role, however simply using new tools and techniques without revisiting data protection challenges at the source will result in new problems that resemble old problems.

backup, restore, BC, DR and archiving

Hence to support growth with a constrained or shrinking budget while maintaining or enhancing service levels, the trick is to remove complexity and costs.

backup, restore, BC, DR and archiving

This means not treating all data and applications the same, stretch your available resources to be more effective without compromise on service is mantra of modernizing data protection.

Ok, nuff said for now, plenty more to discuss later.

Cheers Gs

Greg Schulz – Author Cloud and Virtual Data Storage Networking (CRC Press, 2011), The Green and Virtual Data Center (CRC Press, 2009), and Resilient Storage Networks (Elsevier, 2004)

twitter @storageio

All Comments, (C) and (TM) belong to their owners/posters, Other content (C) Copyright 2006-2012 StorageIO and UnlimitedIO All Rights Reserved

Modernizing data protection with certainty

Speaking of and about modernizing data protection, back in June I was invited to be a keynote presenter on industry trends and perspectives at a series of five dinner events (Boston, Chicago, Palo Alto, Houston and New York City) sponsored by Quantum (that is a disclosure btw).

backup, restore, BC, DR and archiving

The theme of the dinner events was an engaging discussion around modernizing data protection with certainty along with clouds, virtualization and related topics. Quantum and one of their business partner resellers started the event with introductions followed by an interactive discussion by myself, followed by David Chappa (@davidchapa ) who ties the various themes with what Quantum is doing along with some of their customer success stories.

Themes and examples for these events build on my book Cloud and Virtual Data Storage Networking including:

  • Rethinking how, when, where and why data is being protected
  • Big data, little data and big backup issues and techniques
  • Archive, backup modernization, compression, dedupe and storage tiering
  • Service level agreements (SLA) and service level objectives (SLO)
  • Recovery time objective (RTO) and recovery point objective (RPO)
  • Service alignment and balancing needs vs. wants, cost vs. risk
  • Protecting virtual, cloud and physical environments
  • Stretching your available budget to do more without compromise
  • People, processes, products and procedures

Quantum is among other industry leaders with multiple technology and solution offerings for addressing different aspects of data footprint reduction and data protection modernization. These include for physical, virtual and cloud environments along with traditional tape, disk based, compression, dedupe, archive, big data, hardware, software and management tools. A diverse group of attendees have been at the different events including enterprise and SMB, public, private and government across different sectors.

Following are links to some blog posts that covered first series of events along with some of the specific themes and discussion points from different cities:

Via ITKE: The New Realities of Data Protection
Via ITKE: Looking For Certainty In The Cloud
Via ITKE: Success Stories in Data Protection: Cloud virtualization
Via ITKE: Practical Solutions for Data Protection Challenges
Via David Chappas blog

If you missed attending any of the above events, more dates are being added in August and September including stops in Cleveland, Raleigh, Atlanta, Washington DC, San Diego, Connecticut and Philadelphia with more details here.

Ok, nuff said for now, hope to see you at one of the upcoming events.

Cheers
Gs

Greg Schulz – Author Cloud and Virtual Data Storage Networking (CRC Press, 2011), The Green and Virtual Data Center (CRC Press, 2009), and Resilient Storage Networks (Elsevier, 2004)

twitter @storageio

All Comments, (C) and (TM) belong to their owners/posters, Other content (C) Copyright 2006-2012 StorageIO and UnlimitedIO All Rights Reserved

Only you can prevent cloud data loss

Storage I/O trends

Some of you might remember the saying from Smokey the bear, only you can prevent forest fires and for those who do not know about that, click on the image below.

The reason I bring this up is that while cloud providers are responsible (see the cloud blame game) is that it is also up to the user or consumer to take some ownership and responsibility.

Similar to vendor lock-in, the only one who can allow vendor lock in is the customer, granted a vendor can help influence the customer.

The same theme applies to public clouds and cloud storage providers in that there is responsibility of providers along with government and industry regulations to help protect consumers or users. However, there is also the shared responsibility of the user and consumer to make informed decisions.

What is your perspective on who is responsible for cloud data protection?

Ok, nuff said for now

Cheers Gs

Greg Schulz – Author Cloud and Virtual Data Storage Networking (CRC Press, 2011), The Green and Virtual Data Center (CRC Press, 2009), and Resilient Storage Networks (Elsevier, 2004)

twitter @storageio

All Comments, (C) and (TM) belong to their owners/posters, Other content (C) Copyright 2006-2012 StorageIO and UnlimitedIO All Rights Reserved

Spring (May) 2012 StorageIO news letter

StorageIO News Letter Image
Spring (May) 2012 News letter

Welcome to the Spring (May) 2012 edition of the Server and StorageIO Group (StorageIO) news letter. This follows the Fall (December) 2011 edition.

You can get access to this news letter via various social media venues (some are shown below) in addition to StorageIO web sites and subscriptions.

Click on the following links to view the Spring May 2012 edition as an HTML or PDF or, to go to the news letter page to view previous editions.

You can subscribe to the news letter by clicking here.

Enjoy this edition of the StorageIO newsletter, let me know your comments and feedback.

Nuff said for now

Cheers
Gs

Greg Schulz – Author Cloud and Virtual Data Storage Networking (CRC Press), The Green and Virtual Data Center (CRC Press) and Resilient Storage Networks (Elsevier)
twitter @storageio

All Comments, (C) and (TM) belong to their owners/posters, Other content (C) Copyright 2006-2012 StorageIO and UnlimitedIO All Rights Reserved